Publications

Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables

MarblingPredictor: A software to analyze the quality of dry-cured ham slices

Enseñando pensamiento computacional con perspectiva de género en las escuelas

Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing

Quick Hidden Layer Size Tuning in ELM for Classification Problems

Closed-form Gaussian spread estimation for small and large support vector classification

OralImmunoAnalyser: a software tool to immunohistochemical assessment of oral leukoplakia using image segmentation and classification models

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images

Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study

Can we predict behavior problems in children with autism?

Promoting equality in higher education computer programming courses through cooperative learning

MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images

CT-based radiomics to predict KRAS mutation in CRC patients using a machine learning algorithm: a retrospective study

Aprendizaxe de materias de programación e intelixencia artificial con perspectiva de xénero

Validation Analysis of Panoramic Dental Application (PDApp) Software as a Tool for Predicting Third Molar Eruption Based on Panoramic Radiograph Images

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

Fast Support Vector Classifier for large-scale classification problems

Providing female role models in STEM higher education careers, a teaching experience

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression

New neural networks based on extreme learning machine

A machine learning approach in autism spectrum disorders: from sensory processing to behavior problems

Ideal kernel tuning: fast and scalable selection of the radial basis kernel spread for support vector classification

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

Quick extreme learning machine for large-scale classification

Extreme learning machine with confidence interval based bias initialization

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

Embedded ethics to teach machine learning courses: an experience

STERapp: Semiautomatic Software for Stereological Analysis. Application in the Estimation of Fish Fecundity

Unha experiencia da introducción da perspectiva de xénero en materias de Intelixencia Artificial

Exploratory study of the impact of project domain and size category on the detection of the God class design smell

CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders

CT Radiomics in Colorectal Cancer: Detection of KRAS Mutation Using Texture Analysis and Machine Learning

A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings

Una aproximación basada en Machine Learning para evaluar la influencia del tamaño del proyecto en la detección de God Class.

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning (MLA)

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces

An extensive experimental survey of regression methods

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

Classification of color texture feature patterns extracted from cells in histological images of fish ovary

Comparison of a massive and diverse collection of classifiers for oil spill detection in SAR images

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

Comparative study of artificial neural network models for forecasting the indoor temperature in smart buildings

Classification of agricultural soil parameters in India

Influence of normalization and color space to color texture classification

On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes

Machine learning for the management of agricultural soil data

Aprendizaxe baseada na prestación de servizos de administración informática na USC

Aprendizaje basado en la prestación de servicios de administración informática en la USC

Govocitos: a software tool for estimating fish fecundity based on digital analysis of histological images

A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis

Route learning and reproduction in a tour-guide robot

Learning Analytics for the Prediction of the Educational Objectives Achievement

Do we Need hundreds of classifiers to solve real world classification problems?

Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

Exhaustive comparison of color texture features and classification methods to discriminate cells categories in histological images of fish ovary

Robust multi-sensor system for mobile robot localization

Evolutionary Intelligence in Asphalt Pavement Modelling

Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel PerceptronsWeights with Margin Control for Classification Tasks

Common scab detection on potatoes using an infrared hyperspectral imaging

Non-Destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging

Rapid Infrared Multi-Spectral Systems Design using a Hyperspectral Benchmarking Framework

Statistical and Wavelet based texture features for fish oocytes classification

Fast weight calculation for kernel-based perceptron in two-class classification problems

Handling Incomplete Information in an Evolutionary Environment

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

Comparison of several chemometric techniques for the classification of orujo distillate alcoholic samples from Galicia (NW Spain) according to their certified brand of origin.

Integrating incomplete Information into the Relational Data Model

Fast array thinning using global optimization methods

Fast array thinning using global optimization methods

Quality of the Information: The application in the winification process in wine production

Wine vinification prediction using data mining tools

Time Estimation in Injection Molding Production for Automative Industry Based on SVR and RBF

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

Element Failure Detection in Linear Antenna Arrays using Case-Based Reasoning

A comparison among several techniques for finding defective elements in antenna arrays

Polytope ARTMAP: pattern classification without vigilance based on general geometry categories

Automatic detection and classification of grains of pollen based on shape and texture